I use an 6900 XT and run llama.cpp and ComfyUI inside of Docker containers. I don’t think the RX590 is officially supported by ROCm, there’s an environment variable you can set to enable support for unsupported GPUs but I’m not sure how well it works.
AMD provides the handy rocm/dev-ubuntu-22.04:5.7-complete image which is absolutely massive in size but comes with everything needed to run ROCm without dependency hell on the host. I just build a llama.cpp and ComfyUI container on top of that and run it.
I would so much rather run AMD than Nvidia for AI.
I’ll run which ever doesn’t require a bunch of proprietary software. Right now its neither.
AMD’s ROCm stack is fully open source (except GPU firmware blobs). Not as good as Nvidia yet but decent.
Mesa also has its own OpenCL stack but I didn’t try it yet.
AMD ROCm needs the AMD Pro drivers which are painful to install and are proprietary
It does not.
ROCm runs directly through the open source amdgpu kernel module, I use it every week.
How and with what card? I have a XFX RX590 and I just gave up on acceleration as it was slow even after I initially set it up.
I use an 6900 XT and run llama.cpp and ComfyUI inside of Docker containers. I don’t think the RX590 is officially supported by ROCm, there’s an environment variable you can set to enable support for unsupported GPUs but I’m not sure how well it works.
AMD provides the handy rocm/dev-ubuntu-22.04:5.7-complete image which is absolutely massive in size but comes with everything needed to run ROCm without dependency hell on the host. I just build a llama.cpp and ComfyUI container on top of that and run it.
That’s good to know